Skip to content
OpenKey

Qwen3 32B

QwenReleased Apr 28, 2025

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

Try in playground
Context window
131K tokens
Max output
16K tokens
Input
text
Output
text
Tokenizer
Qwen3
Knowledge cutoff
Mar 31, 2025
Released
Apr 28, 2025
Reasoning
optional

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokensProvider+ 3% feeYou pay
Input$0.080$0.0024$0.082
Output$0.280$0.0084$0.288

Benchmarks

Artificial Analysis

Intelligence index
11.5
Coding index
15.3
Agentic index
1.8

Supported parameters

  • frequency_penalty
  • include_reasoning
  • logit_bias
  • logprobs
  • max_tokens
  • min_p
  • presence_penalty
  • reasoning
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_logprobs
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model qwen/qwen3-32b.

Code sample language
curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-32b",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="qwen/qwen3-32b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "qwen/qwen3-32b",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3 32B cost via API?
Through OpenKey, Qwen3 32B costs $0.082 per 1M input tokens and $0.288 per 1M output tokens. That is the provider price ($0.080 / $0.280) plus a flat 3% fee — nothing else.
What is Qwen3 32B's context window?
Qwen3 32B accepts up to 131K tokens of context and returns up to 16K tokens per request.
Is Qwen3 32B OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3-32b" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3 32B support?
Qwen3 32B accepts text input and produces text output. Its knowledge cutoff is Mar 31, 2025.

More from Qwen

All Qwen models →